Quantifying the Effect of Helmet Fit on Performance

dc.contributor.authorSmith, Joseph Adamen
dc.contributor.committeechairRowson, Stevenen
dc.contributor.committeememberDuma, Stefan M.en
dc.contributor.committeememberBrolinson, P. Gunnaren
dc.contributor.departmentBiomedical Engineeringen
dc.date.accessioned2018-05-09T06:00:20Zen
dc.date.available2018-05-09T06:00:20Zen
dc.date.issued2016-11-14en
dc.description.abstractFit is often pointed to as the most important factor to consider when selecting a helmet. However, there is no published biomechanical evidence suggesting that of helmet fit effects concussion risk. The objectives of this study were to quantify helmet fit on a headform and to determine the effect fit has on helmet performance. An impact pendulum was used to strike a helmeted NOCSAE headform mounted on a Hybrid III neck. Helmets were impacted at 4 locations at 3 energies representing a range of concussive to sub-concussive impacts. The fit conditions evaluated in this study represent fitting scenarios in which an athlete is provided a helmet that is properly or improperly sized and cases in which a properly sized helmet is too loose, too tight, or properly adjusted. A custom pressure sensor was developed and used to characterize helmet fit in each condition with a quantitative fit metric representative of a variation from zero pressure on the headform. All helmets produced significant differences in both peak linear and peak angular acceleration due to fit. Differences were generally small with some exceptions. Furthermore, air bladder inflation generated significant differences in both peak linear and peak angular acceleration, but these were generally small in magnitude. While fit associated with size and air bladder inflation significantly affected linear and rotational head acceleration for most impact conditions, the best fit condition did not always generate the lowest accelerations. Differences can be attributed to varying helmet characteristics between and within helmet models.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:8002en
dc.identifier.urihttp://hdl.handle.net/10919/83198en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectbiomechanicsen
dc.subjectfootballen
dc.subjectconcussionen
dc.subjectbrain injuryen
dc.subjectlinearen
dc.subjectrotationalen
dc.subjectaccelerationen
dc.titleQuantifying the Effect of Helmet Fit on Performanceen
dc.typeThesisen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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